An Adaptive Beaconing Scheme Based on Traffic Environment Parameters Prediction in VANETs

In Vehicular Ad Hoc Networks (VANETs), it is common for vehicles to inform their current states such as position, direction and speed to their neighboring vehicles by broadcasting beacon messages periodically. Choosing a suitable beaconing scheme has been considered an important challenge since we need to balance the trade-off between the information accuracy and the channel congestion. In this paper, we propose a new adaptive beaconing scheme based on the short-term traffic environment prediction. By using our adaptive beaconing scheme, vehicles can effectively reduce the channel congestion and enhance the utilization of the limited channel resource. This paper introduces the ARIMA model based prediction method in details, and gives a description of the beaconing adaption method which combined the transmission power adaption and the beacon generation rate adaption together. The analysis and simulation demonstrate the performance of our adaptive beaconing scheme.

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